Doubao 2.0 series is designed for low-latency, high-concurrency, and cost-sensitive scenarios, emphasizing fast responses and flexible inference deployment. Model performance is comparable to Doubao-Seed-1.6. It supports a 256k context window, four levels of thinking length, and multimodal understanding, making it suitable for lightweight tasks that prioritize cost and speed.
Pricing
Input Modalities
- Text
- Vision
- Video
Output Modalities
- Text
Context length
- 256K tokens
Max output
- 128K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Document input
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Bytedance doubao-seed-2-0-mini-260215
Pricing$0.030$0.301
Cache Read$0.0060272/M tokens
Pricing$0.060$0.603
Cache Read$0.0120548/M tokens
Pricing$0.121$1.205
Cache Read$0.0241096/M tokens
Context256K
Max output32K
Latency0.7S
Throughput102.2TPS
Uptime
99.99% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Performance for doubao-seed-2-0-mini
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Try this model
Python
